Kazuyasu Sakaguchi
- Oncology top 0.2%
- Cancer-related Molecular Pathways 42
- Immunology top 0.5%
- Immunotherapy and Immune Responses 18
- T-cell and B-cell Immunology 13
- Molecular Biology top 0.5%
- RNA modifications and cancer 22
- Ubiquitin and proteasome pathways 19
- Chemical Synthesis and Analysis 15
- Epigenetics and DNA Methylation 12
- RNA Research and Splicing 11
- Virology top 1%
- Biotechnology top 0.5%
- Co-authors
- Ettore AppellaCarl W. AndersonYoichi TayaMichael B. KastanChristine E. CanmanJanet D. SilicianoShinichi SaitoKatsuyuki Tamai
- Cited by
- OncologyImmunologyMolecular Biology
- Journals
- Nature (1 paper)Science (5 papers)Proceedings of the National Academy of Sciences (8 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Kazuyasu Sakaguchi
144 papers receiving 13.0k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Oncology 5.5k
- Immunology 4.2k
- Molecular Biology 8.8k
- Virology 547
- Biotechnology 877
Countries citing papers authored by Kazuyasu Sakaguchi
This map shows the geographic impact of Kazuyasu Sakaguchi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kazuyasu Sakaguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuyasu Sakaguchi more than expected).
Fields of papers citing papers by Kazuyasu Sakaguchi
This network shows the impact of papers produced by Kazuyasu Sakaguchi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kazuyasu Sakaguchi. The network helps show where Kazuyasu Sakaguchi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kazuyasu Sakaguchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 8 | |
| 5 | 2021 | 7 | |
| 6 | 2019 | 3 | |
| 7 | 2016 | 23 | |
| 8 | 2015 | 26 | |
| 9 | 2009 | 15 | |
| 10 | 2009 | 2 | |
| 11 | 2006 | 19 | |
| 12 | 2002 | 62 | |
| 13 | 2000 | 13 | |
| 14 | 1999 | 112 | |
| 15 | DNA damage induces phosphorylation of the amino terminus of p53breakdown → | 1997 | 677 |
| 16 | 1997 | 31 | |
| 17 | 1996 | 86 | |
| 18 | Synthetic antigenic peptides as a new strategy for immunotherapy of cancer. | 1995 | 10 |
| 19 | 1995 | 187 | |
| 20 | 1988 | 14 |
About Kazuyasu Sakaguchi
Kazuyasu Sakaguchi is a scholar working on Oncology, Molecular Biology and Immunology, having authored 145 papers that have together received 13.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (42 papers), RNA modifications and cancer (22 papers), Ubiquitin and proteasome pathways (19 papers), Immunotherapy and Immune Responses (18 papers), Chemical Synthesis and Analysis (15 papers), T-cell and B-cell Immunology (13 papers), Epigenetics and DNA Methylation (12 papers) and RNA Research and Splicing (11 papers). The work is most often cited by research in Oncology (5.5k citations), Immunology (4.2k citations) and Molecular Biology (8.8k citations). Kazuyasu Sakaguchi has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Ettore Appella, Carl W. Anderson, Yoichi Taya, Michael B. Kastan, Christine E. Canman, Janet D. Siliciano, Shinichi Saito, Katsuyuki Tamai, Karlene A. Cimprich and Dae‐Sik Lim. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.